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Why Statistics?: Some Opportunities for Statistics An Overview of Statistical Studies. Exploring Univariate Data: Data - More Than Numbers Dot Plots Stem-and-Leaf Plots Histograms Transformations Displaying Discrete Data Comparing Two or More Batches Quartiles and Box Plots Numerical Summaries. Exploring Change - Time Series Time Series Data Displaying Time Series Smoothing Seasonal Time Series Control Charts. Exploring Relationships - Bi-Variate Data: Scatterplots Strength of a Relationship - Correlation Form of a Relationship - Least Squares Nonlinear Relationships Multivariate Data Causation and Experimental Design. Exploring Categorical Data: Categorical Data Displaying Categorical Data Comparing Batches of Categorical Values Bivariate Categorical Data Causal Association in Categorical Relationships. Principles Of Data Presentation: General Principles 'Signal' and 'Noise' Removal of Data Noise Avoidance of Non-Data Noise Faithful Representation of Data Graphical Excellence. Data Collection - The Importance Of Design: Available Data Data Collection Sample Surveys Designed Experiments. From Populations To Samples - Sampling Phenomena: Populations and Sampling Variability of Samples Variability of Sample Means Variability of Sample Proportions. From Samples To Populations - Inferencee: Estimation Testing Hypotheses Comparison of Two Populations Comparison of Several Population Means - Analysis of Variance Regression Inference Review Problems.
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Cannon et al. (1998) studied this question.
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